Databricks에서 Lakebase 제품을 고도화할 Staff Database Engineer를 채용합니다. Postgres 기반의 고성능 OLTP 시스템 운영 및 쿼리 튜닝 경험이 필수이며, 데이터베이스 자동화 도구 설계와 고객 기술 지원을 주도하게 됩니다. 대규모 데이터 플랫폼의 안정성과 성능을 최적화하는 핵심적인 역할을 수행할 전문가를 찾습니다.
P-1700
At Databricks, we are passionate about enabling data teams to solve the world's toughest problems, from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best Data Intelligence Platform so our customers can use deep data insights to improve their business. Founded by engineers and customer-obsessed, we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.
Lakebase enables teams to deliver applications faster with an optimized database developer experience, integration with the lakehouse, and simplified operations. Lakebase provides a managed Postgres transactional layer for application state and workloads that combine operational data, analytics, and AI.
We are looking for a Staff Database Engineer to help build the Lakebase product, advising software engineering teams on functional and non-functional feature designs and working with product teams to validate that designs satisfy customer requirements. You will design operational tools to simplify troubleshooting and enterprise extensions for Lakebase to meet customer security and observability requirements. You will assist field engineers with complex and demanding POC’s and advise customers and field engineers on best practices for application and database design to maximize performance.
What we look for:
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
Local Pay Range
$182,000—$247,000 USD
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
**Benefits
**At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
